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This is gross on multiple levels.
When happens when a creator is stuck in a Twitter bubble
> But we judge places by the people who go there. We always have.

Does anyone do this for a restaurants? That's not something that ever really factored into my food habits

I respect the novelty. It’s a meme idea, but the problem solving and coding is still legit as a quick and fun challenge.

Any details on how you managed to scrape the all mighty goog?

Why is 2/3 of LA restaurant visited by "old" people per this map?

I assume it's a racial thing and the AI could not really detect the age correctly?

In NY the Irish pubs are tagged as old, which kinda makes sense.

What about the ethical concerns? Scrapping faces of people and feeding them into AI model without their permission.
I love how quick people are to dismiss the obvious technical skill involved in making something like this, just because of the off-color premise.
This is some old internet style shenanigans powered by modern technology.

I am here for it. I want more of this.

Until ot becomes a 4chan weaponized meme used by satirical fauxscists.
What's the purpose of this?

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Top 5 Restaurants (Female vs Male Preferences)

  Female Picks:
  ------------------------------------------------
  1. Big Apple Brunch          | Hell's Kitchen     | 9.2/10
  2. Pietro Nolita             | Nolita             | 8.6/10
  3. Kanü Bar|Grill            | Hamilton Heights   | 8.5/10
  4. STK Steakhouse Downtown   | West Village       | 8.2/10
  5. Lighthouse Fish Market    | East Harlem        | 8.2/10
  
  Male Picks:
  ------------------------------------------------
  1. Lahori Kabab              | Kips Bay           | 2.3/10
  2. Big Arc Chicken           | East Village       | 2.5/10
  3. Hop Won Express           | Midtown East       | 3.1/10
  4. Subway                    | Hell's Kitchen     | 3.1/10
  5. Nica Trattoria            | Upper East Side    | 3.1/10



it looks like female => attractive
that’s awful, I love it
This sounds like the opening premise of a 90's romcom.
I think there's a category of these kinds of things where you apply AI to do something humans could do, but could not be bothered to do. Or could not profitably do. At least no human would categorize all these reviews just for lols.

Another recent example from HN would be that site which just lists hotel rooms that have a desk and a chair. It would be an incredibly dull task for a human to look at a million hotel room pictures and just select if they have a desk or not.

What else somewhat useful/fun could we do applying perhaps a little worse than human attention at something, but a lot of it?

This was a fun website until I realized that restaurants in Harlem score overwhelmingly "not hot".

This sucks.

Given that we're talking about NY, shouldn't it be Hot Dog (Stand) or Not?
took only a few checks for me to come to the conclusion that the setup has the age-old heavy bias towards beauty standards. I.e., if customers are black or Asian, hotness ranking goes down.
I see a weird blue cluster north of Central Park, where according to the AI almost every restaurant has ugly patrons.

That cluster coincides with Harlem which has a majorly Black and Hispanic population and (I think) is generally lower-wealth.

Unintentional race and/or wealth/class bias in the model exposed here?

I thought this said looksMaxing at first and had to do a double take